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The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees

A range of different genetic architectures underpin local adaptation in nature. Honey bees (Apis mellifera) in the Eastern African Mountains harbor high frequencies of two chromosomal inversions that likely govern adaptation to this high-elevation habitat. In the Americas, honey bees are hybrids of...

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Autores principales: Everitt, Turid, Wallberg, Andreas, Christmas, Matthew J, Olsson, Anna, Hoffmann, Wolfgang, Neumann, Peter, Webster, Matthew T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484329/
https://www.ncbi.nlm.nih.gov/pubmed/37625795
http://dx.doi.org/10.1093/gbe/evad157
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author Everitt, Turid
Wallberg, Andreas
Christmas, Matthew J
Olsson, Anna
Hoffmann, Wolfgang
Neumann, Peter
Webster, Matthew T
author_facet Everitt, Turid
Wallberg, Andreas
Christmas, Matthew J
Olsson, Anna
Hoffmann, Wolfgang
Neumann, Peter
Webster, Matthew T
author_sort Everitt, Turid
collection PubMed
description A range of different genetic architectures underpin local adaptation in nature. Honey bees (Apis mellifera) in the Eastern African Mountains harbor high frequencies of two chromosomal inversions that likely govern adaptation to this high-elevation habitat. In the Americas, honey bees are hybrids of European and African ancestries and adaptation to latitudinal variation in climate correlates with the proportion of these ancestries across the genome. It is unknown which, if either, of these forms of genetic variation governs adaptation in honey bees living at high elevations in the Americas. Here, we performed whole-genome sequencing of 29 honey bees from both high- and low-elevation populations in Colombia. Analysis of genetic ancestry indicated that both populations were predominantly of African ancestry, but the East African inversions were not detected. However, individuals in the higher elevation population had significantly higher proportions of European ancestry, likely reflecting local adaptation. Several genomic regions exhibited particularly high differentiation between highland and lowland bees, containing candidate loci for local adaptation. Genes that were highly differentiated between highland and lowland populations were enriched for functions related to reproduction and sperm competition. Furthermore, variation in levels of European ancestry across the genome was correlated between populations of honey bees in the highland population and populations at higher latitudes in South America. The results are consistent with the hypothesis that adaptation to both latitude and elevation in these hybrid honey bees are mediated by variation in ancestry at many loci across the genome.
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spelling pubmed-104843292023-09-08 The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees Everitt, Turid Wallberg, Andreas Christmas, Matthew J Olsson, Anna Hoffmann, Wolfgang Neumann, Peter Webster, Matthew T Genome Biol Evol Article A range of different genetic architectures underpin local adaptation in nature. Honey bees (Apis mellifera) in the Eastern African Mountains harbor high frequencies of two chromosomal inversions that likely govern adaptation to this high-elevation habitat. In the Americas, honey bees are hybrids of European and African ancestries and adaptation to latitudinal variation in climate correlates with the proportion of these ancestries across the genome. It is unknown which, if either, of these forms of genetic variation governs adaptation in honey bees living at high elevations in the Americas. Here, we performed whole-genome sequencing of 29 honey bees from both high- and low-elevation populations in Colombia. Analysis of genetic ancestry indicated that both populations were predominantly of African ancestry, but the East African inversions were not detected. However, individuals in the higher elevation population had significantly higher proportions of European ancestry, likely reflecting local adaptation. Several genomic regions exhibited particularly high differentiation between highland and lowland bees, containing candidate loci for local adaptation. Genes that were highly differentiated between highland and lowland populations were enriched for functions related to reproduction and sperm competition. Furthermore, variation in levels of European ancestry across the genome was correlated between populations of honey bees in the highland population and populations at higher latitudes in South America. The results are consistent with the hypothesis that adaptation to both latitude and elevation in these hybrid honey bees are mediated by variation in ancestry at many loci across the genome. Oxford University Press 2023-08-25 /pmc/articles/PMC10484329/ /pubmed/37625795 http://dx.doi.org/10.1093/gbe/evad157 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Everitt, Turid
Wallberg, Andreas
Christmas, Matthew J
Olsson, Anna
Hoffmann, Wolfgang
Neumann, Peter
Webster, Matthew T
The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title_full The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title_fullStr The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title_full_unstemmed The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title_short The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees
title_sort genomic basis of adaptation to high elevations in africanized honey bees
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484329/
https://www.ncbi.nlm.nih.gov/pubmed/37625795
http://dx.doi.org/10.1093/gbe/evad157
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